How do I install the Dct skill?

Run npx skillmds@latest add tomevault-io/dct in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Dct?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

tomevault-io (@tomevault-io) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Dct by tomevault-io — Agent Skill

Name: Dct
Author: tomevault-io

Dct

Router skill for DCT (Data Check Tool). Use this skill whenever the user wants to work with flat data files (CSV, JSON, NDJSON, Parquet) for inspection, comparison, transformation, or generation. The main dct skill analyzes user intent and routes to appropriate sub-skills. Triggers include any mention of data files, previewing data, comparing datasets, generating test data, flattening JSON, creating SQL schemas, profiling data, or visualizing distributions. Use when this capability is needed.

tomevault-io Updated Sep 17, 2026

File contents

DCT (Data Check Tool) - Skill Router

DCT is a Swiss army knife CLI tool for working with flat data files. This skill routes to appropriate sub-skills based on user intent.

Quick Command Reference

User Intent	Route To	Command Pattern
Preview/inspect data	`dct-peek`	`dct peek <file>`
Generate SQL schema	`dct-infer`	`dct infer <file>`
Compare two datasets	`dct-diff`	`dct diff <keys> <file1> <file2>`
Generate synthetic data	`dct-generate`	`dct gen <schema>`
Flatten nested JSON	`dct-flattify`	`dct flattify <json>`
Analyze data quality	`dct-profile`	`dct prof <file>`
JSON Schema to SQL	`dct-js2sql`	`dct js2sql <schema>`
Visualize data	`dct-chart`	`dct chart <file> <col>`

Routing Logic

Analyze the user's request and route to the appropriate sub-skill:

Route to `dct-peek` when:

User wants to preview data files
Keywords: "peek", "preview", "show me", "look at", "first rows", "sample"
Example: "Show me the first 10 rows of data.csv"

Route to `dct-infer` when:

User wants to generate SQL schemas
Keywords: "infer", "schema", "create table", "sql from data", "ddl"
Example: "Generate a CREATE TABLE statement from this CSV"

Route to `dct-diff` when:

User wants to compare two files
Keywords: "diff", "compare", "differences", "match", "reconcile", "validate"
Example: "Compare these two CSV files by the ID column"

Route to `dct-generate` when:

User wants to create synthetic test data
Keywords: "generate", "synthetic", "mock", "fake data", "test data"
Example: "Generate 1000 fake user records"

Route to `dct-flattify` when:

User wants to flatten nested JSON
Keywords: "flatten", "unnest", "nested json", "make flat"
Example: "Flatten this nested JSON from the API response"

Route to `dct-profile` when:

User wants to analyze data quality
Keywords: "profile", "analyze", "data quality", "statistics", "distribution"
Example: "Profile this data file for quality issues"

Route to `dct-js2sql` when:

User wants to convert JSON Schema to SQL
Keywords: "json schema", "convert schema", "schema to sql"
Example: "Convert this JSON Schema to a CREATE TABLE statement"

Route to `dct-chart` when:

User wants to visualize data
Keywords: "chart", "visualize", "histogram", "plot", "graph"
Example: "Create a chart of the sales column"

Common Patterns

Data Validation Workflow

dct-peek: Preview to understand structure
dct-profile: Check data quality
dct-infer: Generate schema for downstream use

Data Comparison Workflow

dct-peek: Preview both files
dct-diff: Compare with appropriate keys

Test Data Generation Workflow

dct-generate: Create synthetic data
dct-peek: Verify generated data
dct-diff: Compare with production sample

Installation

All sub-skills require DCT to be installed:

which dct || go build -o dct && chmod +x ./dct

Supported File Formats

All DCT sub-skills support:

CSV (.csv)
JSON (.json)
NDJSON (.ndjson) - newline-delimited JSON
Parquet (.parquet)

Error Handling

If a sub-skill encounters errors:

Verify the file exists and is readable
Check file extension matches content format
Ensure DCT binary is built and executable

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---name: dctdescription: Router skill for DCT (Data Check Tool). Use this skill whenever the user wants to work with flat data files (CSV, JSON, NDJSON, Parquet) for inspection, comparison, transformation, or generation. The main dct skill analyzes user intent and routes to appropriate sub-skills. Triggers include any mention of data files, previewing data, comparing datasets, generating test data, flattening JSON, creating SQL schemas, profiling data, or visualizing distributions. Use when this capability is needed.---# DCT (Data Check Tool) - Skill RouterDCT is a Swiss army knife CLI tool for working with flat data files. This skill routes to appropriate sub-skills based on user intent.## Quick Command Reference| User Intent | Route To | Command Pattern ||-------------|----------|-----------------|| Preview/inspect data | `dct-peek` | `dct peek <file>` || Generate SQL schema | `dct-infer` | `dct infer <file>` || Compare two datasets | `dct-diff` | `dct diff <keys> <file1> <file2>` || Generate synthetic data | `dct-generate` | `dct gen <schema>` || Flatten nested JSON | `dct-flattify` | `dct flattify <json>` || Analyze data quality | `dct-profile` | `dct prof <file>` || JSON Schema to SQL | `dct-js2sql` | `dct js2sql <schema>` || Visualize data | `dct-chart` | `dct chart <file> <col>` |## Routing LogicAnalyze the user's request and route to the appropriate sub-skill:### Route to `dct-peek` when:- User wants to preview data files- Keywords: "peek", "preview", "show me", "look at", "first rows", "sample"- Example: "Show me the first 10 rows of data.csv"### Route to `dct-infer` when:- User wants to generate SQL schemas- Keywords: "infer", "schema", "create table", "sql from data", "ddl"- Example: "Generate a CREATE TABLE statement from this CSV"### Route to `dct-diff` when:- User wants to compare two files- Keywords: "diff", "compare", "differences", "match", "reconcile", "validate"- Example: "Compare these two CSV files by the ID column"### Route to `dct-generate` when:- User wants to create synthetic test data- Keywords: "generate", "synthetic", "mock", "fake data", "test data"- Example: "Generate 1000 fake user records"### Route to `dct-flattify` when:- User wants to flatten nested JSON- Keywords: "flatten", "unnest", "nested json", "make flat"- Example: "Flatten this nested JSON from the API response"### Route to `dct-profile` when:- User wants to analyze data quality- Keywords: "profile", "analyze", "data quality", "statistics", "distribution"- Example: "Profile this data file for quality issues"### Route to `dct-js2sql` when:- User wants to convert JSON Schema to SQL- Keywords: "json schema", "convert schema", "schema to sql"- Example: "Convert this JSON Schema to a CREATE TABLE statement"### Route to `dct-chart` when:- User wants to visualize data- Keywords: "chart", "visualize", "histogram", "plot", "graph"- Example: "Create a chart of the sales column"## Common Patterns### Data Validation Workflow1. `dct-peek`: Preview to understand structure2. `dct-profile`: Check data quality3. `dct-infer`: Generate schema for downstream use### Data Comparison Workflow1. `dct-peek`: Preview both files2. `dct-diff`: Compare with appropriate keys### Test Data Generation Workflow1. `dct-generate`: Create synthetic data2. `dct-peek`: Verify generated data3. `dct-diff`: Compare with production sample## InstallationAll sub-skills require DCT to be installed:```bashwhich dct || go build -o dct && chmod +x ./dct```## Supported File FormatsAll DCT sub-skills support:- CSV (.csv)- JSON (.json)- NDJSON (.ndjson) - newline-delimited JSON- Parquet (.parquet)## Error HandlingIf a sub-skill encounters errors:- Verify the file exists and is readable- Check file extension matches content format- Ensure DCT binary is built and executable---> Converted and distributed by [TomeVault](https://tomevault.io/claim/andrew-a-hale) — claim your Tome and manage your conversions.

Frequently asked questions

Dct

File contents

DCT (Data Check Tool) - Skill Router

Quick Command Reference

Routing Logic

Route to dct-peek when:

Route to dct-infer when:

Route to dct-diff when:

Route to dct-generate when:

Route to dct-flattify when:

Route to dct-profile when:

Route to dct-js2sql when:

Route to dct-chart when: